octaviusp/spawning-plan-skill · Archived

spawning-plan

Spawning Plan. Use when user wants to spawn agents, create a team, or coordinate multiple agents. Automatically gathers context, asks team topology questions, outputs clean TEAM PLAN markdown, and gets user approval. 3 steps: context gathering → questions → present plan. **CRITICAL**: MUST NOT SPAWN AGENTS SKIPPING THIS SKILL, USE ALWAYS.

First seen Feb 8, 2026

Installation

$ npx skills add octaviusp/spawning-plan-skill --skill spawning-plan

Summary

  • Spawning Plan.
  • Use when user wants to spawn agents, create a team, or coordinate multiple agents.
  • Automatically gathers context, asks team topology questions, outputs clean TEAM PLAN markdown, and gets user approval. 3 steps: context gathering → questions → present plan. **CRITICAL**: MUST NOT SPAWN AGENTS SKIPPING THIS SKILL, USE ALWAYS.

Stronger alternatives

This repository is archived — consider an actively maintained alternative.

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More details

Agent compatibility

Declared targets from SKILL.md / docs. Unmarked agents are not listed — the skill may still install via the CLI.

Claude Code Declared
Cursor Not declared
Codex Not declared
GitHub Copilot Not declared
Windsurf Not declared
Gemini CLI Not declared
Cline Not declared
OpenCode Not declared

Repository health

Stars 4
License LICENSE
Default branch main
Open issues 0
Status Archived

Skill metadata

Parsed from SKILL.md frontmatter.

Declared agents claude-code

Package contents

Files included with this skill beyond the listing page.

  • skill md SKILL.md 4,102 B
  • docs SUMMARY.md 365 B

History

  1. First seen on skills.sh
  2. First recorded snapshot · 36 installs

SKILL.md

Spawning Plan

Design the optimal agent team for the task. Performant, precise, minimal. Docs: https://code.claude.com/docs/en/agent-teams.md

Task: $ARGUMENTS

Step 1: Context Gathering (Silent — no user interaction)

A) Read environment:

  • CLAUDE.md — workflow rules, conventions, constraints
  • Project manifests — package.json, pyproject.toml, Cargo.toml, go.mod, etc.
  • Directory structure — src/, app/, packages/, test dirs, monorepo indicators

B) Inventory existing agents:

  • Scan ~/.claude/agents/*.md — reuse matching agents instead of creating duplicates

C) Analyze task complexity:

  • Work type: research, implementation, review, debugging, refactoring
  • Scope: single-layer vs cross-layer
  • Parallelism: can work split into independent streams?
  • Complexity → team size: simple (2 agents), medium (3-4), complex cross-cutting (5-6, max 8)

Step 2: Ask Team Questions (AskUserQuestion Tool)

Ask 3-5 questions based on Step 1 findings. Not all apply every time — pick what matters.

  1. Team Composition — "For this [work type] on [stack], I'm thinking [N] agents: [role list]. What would you change?"

Options: Perfect / Add role / Remove role / Different approach

  1. Coordination — "How should agents work together?"

Options: Independent (no messaging) / Team (peer messaging) / Hub-spoke (lead coordinates)

  1. Dependencies — "Work order?"

Options: All parallel / Sequential (A→B→C) / Mixed

  1. Models — "Model allocation: opus (research), sonnet (implementation), haiku (scanning). Adjust?"

Options: As suggested / All opus / All sonnet / Custom

  1. Agent Reuse (only if matching agents found in Step 1B) — "Found existing [agent-name] that handles [capability]. Reuse it?"

Options: Reuse / Create fresh / Both

Step 3: Output & Approval

Present clean TEAM PLAN:

## TEAM PLAN

Task: [description]
Pattern: [independent | team | hub-spoke]
Work Order: [parallel | sequential | mixed]
Agents: [count]

### Teammates

- Teammate 1: [Name] ([Role])
  Description: [1-2 line expertise and specialization]
  Model: [opus|sonnet|haiku]
  Type: [general-purpose | feature-dev:code-X | reuse ~/.claude/agents/X.md]
  Responsible for: [specific deliverable]
  Depends on: [— | Teammate N]

- Teammate 2: [Name] ([Role])
  Description: [1-2 line expertise and specialization]
  Model: [opus|sonnet|haiku]
  Type: [general-purpose | feature-dev:code-X]
  Responsible for: [specific deliverable]
  Depends on: [— | Teammate N]

- ...

### Research (injected into agent prompts)
- [key finding or best practice 1]
- [key finding or best practice 2]

Final Approval (AskUserQuestion Tool)

"Launch this team?"
- Deploy & Save — spawn agents and save as reusable skill
- Deploy Once — spawn agents, one-time
- Adjust — change something (iterate plan)
- Cancel — abort

Deploy & Save → save team as skill at ~/.claude/skills/<team-name>/SKILL.md for future use via /<team-name> [task]. Saved skill skips planning, bakes in agent definitions, uses $ARGUMENTS for task input.

Adjust → ask what to change → regenerate plan → ask again. Loop until approved.

Deploy Once → spawn immediately, no save.

Cancel → stop.

Spawning Execution

Based on chosen pattern:

  • Independent: parallel Task tool calls, one per agent
  • Team: TeamCreate → TaskCreate per agent → Task tool with team_name → TaskUpdate for dependencies
  • Hub-spoke: TeamCreate with lead agent (opus) that delegates via SendMessage

For detailed agent prompt structure, see [references/agent-prompts.md](references/agent-prompts.md).